Thomas Kober
Impact in
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- Natural Language Processing Techniques
- Topic Modeling
- Advanced Text Analysis Techniques
- Speech and dialogue systems
- Text Readability and Simplification
- Sentiment Analysis and Opinion Mining
- Authorship Attribution and Profiling
Papers in
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- Topic Modeling 6
- Natural Language Processing Techniques 5
- Speech and dialogue systems 2
- Semantic Web and Ontologies 1
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- Taxation and Compliance Studies 1
- European Socioeconomic and Political Studies 1
- Co-authors
- Jeremy Reffin (4 shared papers)Julie Weeds (4 shared papers)David R. Weir (2 shared papers)David Weir (3 shared papers)Alfons Schmid (2 shared papers)Rachael Tatman (1 shared paper)Christian Baden (2 shared papers)
- Journals
- Edinburgh Research Explorer (4 papers)Mitteilungen aus der Arbeitsmarkt- und Berufsforschung (1 paper)
- Partner nations
- United KingdomGermany
In The Last Decade
Thomas Kober
7 papers receiving 63 citations
Peers
Comparison fields: 5 of 20
- Artificial Intelligence 64
- Public Administration 2
- Computer Vision and Pattern Recognition 6
- Communication 2
- Cultural Studies 2
Countries citing papers authored by Thomas Kober
This map shows the geographic impact of Thomas Kober's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Thomas Kober with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Kober more than expected).
Fields of papers citing papers by Thomas Kober
This network shows the impact of papers produced by Thomas Kober. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Thomas Kober. The network helps show where Thomas Kober may publish in the future.
Co-authors
The 7 scholars most cited alongside Thomas Kober, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 36 | |
| 2 | 2016 | 18 | |
| 3 | 2016 | 7 | |
| 4 | 2020 | 3 | |
| 5 | Arbeitsmarktsegmentation im technologischen Wandel : Wirkungen neuer Informationstechnologien auf Struktur und Funktionsweise von Arbeitsmärkten | 1996 | 2 |
| 6 | 2017 | 2 | |
| 7 | 2015 | 1 | |
| 8 | Technischer Wandel und Arbeitsmarktsegmentation: ein ausgewählter Literaturüberblick | 2003 | 0 |
About Thomas Kober
Thomas Kober is a scholar working on Artificial Intelligence, Economics and Econometrics, Sociology and Political Science, Information Systems and General Social Sciences, having authored 8 papers that have together received 69 indexed citations. Recurring topics across this work include Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers), Speech and dialogue systems (2 papers), Semantic Web and Ontologies (1 paper), Spam and Phishing Detection (1 paper), Taxation and Compliance Studies (1 paper), Innovation, Technology, and Society (1 paper) and European Socioeconomic and Political Studies (1 paper). The work is most often cited by research in Artificial Intelligence (64 citations), Public Administration (2 citations), Computer Vision and Pattern Recognition (6 citations), Communication (2 citations) and Cultural Studies (2 citations). Thomas Kober has collaborated with scholars based in United Kingdom and Germany. Frequent co-authors include Jeremy Reffin, Julie Weeds, David R. Weir, David Weir, Alfons Schmid, Rachael Tatman and Christian Baden. Their work appears in journals such as Edinburgh Research Explorer and Mitteilungen aus der Arbeitsmarkt- und Berufsforschung.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.